nosql jobs in San Diego

Senior AI Engineer role focused on designing and leading scalable, high-performance data architecture solutions that support AI/GenAI use cases. The role involves building and optimizing data pipelines, defining database schemas (Graph, SQL, NoSQL), and leading infrastructure for AI model deployment across cloud and on-premises environments.…See more Requires 4+ years in data engineering/MLOps with hands-on AWS/Azure/GCP experience, 2+ years managing technical teams, and expertise in DevOps, CI/CD, containerization (Kubernetes, Docker), and ML deployment frameworks. The position includes mentoring junior engineers and driving technology modernization initiatives.

Design and build secure cryptographic services—including key management, PKI, and secrets distribution—for a large-scale multi-tenant SaaS platform. Apply ML/AI techniques to detect cryptographic misuse and anomalies in near real time.…See more Operate services on Kubernetes, manage CI/CD pipelines, and respond to security incidents. Requires 4+ years of production software engineering experience, advanced knowledge of distributed systems and cryptographic primitives, and demonstrated security-conscious coding practices.

Design and build secure cryptographic services (key management, PKI, secrets distribution) for ServiceNow's multi-tenant SaaS platform, ensuring FIPS compliance and regulated-environment requirements. Apply ML/statistical techniques to detect cryptographic misuse, anomalies in key usage, and suspicious access patterns in near real-time.…See more Operate services on Kubernetes, manage CI/CD pipelines, handle on-call duties, and collaborate with security architects to translate compliance requirements into production code. Requires 4+ years of production software engineering (Java, Go, or equivalent OO language), deep knowledge of distributed systems and cryptographic primitives, and hands-on Kubernetes deployment experience.

Principal Engineer Data will develop and execute a data architecture strategy aligned with business goals, building and maintaining data models, metadata standards, and integration frameworks. The role requires leading technical assessments for digitizing core business functions, working with stakeholders to translate requirements into architectural solutions, and ensuring data storage, retrieval, and governance meet enterprise standards.…See more The candidate must have a STEM degree with at least 5 years of experience (or Master's with 3 years), strong expertise in SQL Server, data visualization tools (Tableau, Power BI), and data architecture principles including data integration, governance, and security protocols.

Design, develop, test, and maintain scalable enterprise applications with full-stack capabilities across front-end (Angular, TypeScript, Material UI) and back-end (Java, Spring Boot, REST/SOAP APIs). Build responsive user interfaces, develop complex database solutions using SQL and NoSQL, deploy AWS-based services with CI/CD pipelines, and support application modernization efforts including AngularJS-to-Angular migration.…See more Requires 8+ years of enterprise IT experience and hands-on proficiency across the full development lifecycle.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

Design, implement, and troubleshoot AI/LLM-enabled software solutions for Navy cyber missions, including scripts, services, APIs, and automation workflows. Integrate systems across REST/HTTP APIs, relational and NoSQL data stores, and cloud or enterprise environments while respecting RMF controls and secure engineering practices.…See more Translate mission and security requirements into concrete technical tasks, deliver hands-on code in Python, and communicate trade-offs to both technical and non-technical stakeholders. Work in small Agile teams using Git and code review practices, with mentorship to reduce cyber risk across fleet and ashore enterprise.

Staff Software Engineer role leading technical strategy and architecture for TurboTax and Tax Experiences products at Intuit. You'll drive end-to-end technology initiatives across customer-facing and backend systems, architecting highly scalable applications that handle massive seasonal traffic while integrating AI capabilities like intelligent guidance and document extraction.…See more Responsibilities include setting technical direction, mentoring engineers, designing resilient distributed systems, and collaborating cross-functionally with product, design, data science, and compliance teams to solve complex tax fintech problems at scale.

Principal-level Business Intelligence Architect responsible for designing and leading enterprise data architecture, ETL pipelines, and reporting infrastructure for a healthcare organization. The role requires 8+ years of BI/data management experience with at least 4 years leading individual contributors and managers, deep expertise in SQL, relational and NoSQL databases, and cloud/streaming data architectures.…See more You will mentor technical teams, communicate complex data solutions to executive stakeholders, ensure HIPAA compliance, and drive innovation in data strategy across a matrix organization.

VP-level Cloud Delivery Architect responsible for designing reliable, scalable, and secure AWS infrastructure solutions for LPL Financial. The role requires deep expertise in AWS services (Lambda, Glue, RDS, Step Functions, EC2, S3, ECS, EKS, etc.), infrastructure-as-code (Terraform), and cloud security/IAM to lead architecture design, perform systems analysis, and provide technical guidance to cross-functional teams.…See more Must balance fast-paced startup-like execution with formal change control, develop reference architectures, and mentor on best practices across on-premises and cloud environments.

This is a senior full-stack engineer role responsible for architecting and building internal platforms and cloud infrastructure that serve operations, finance, lab, and external customers. The engineer will design data models and APIs connecting lab systems, business software (NetSuite, ATS, CRM), and internal dashboards; build robust cloud infrastructure managing provisioning, cost, reliability, and security; and set technical direction on architecture, code quality, CI/CD, and observability across a growing engineering org.…See more The role requires 10+ years of full-stack production experience, deep hands-on cloud infrastructure knowledge, modern frontend (React) and backend skills, and ability to work directly with non-engineering stakeholders to translate ambiguous business requirements into shipped software. Over time, the engineer will build and mentor a team.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Senior Software Engineer role building scalable, data-intensive real estate analytics applications using modern full-stack technologies. Requires 7+ years of software development experience with deep expertise in server-side languages (.NET, C#, Node.js), front-end frameworks (React, JavaScript), relational databases (SQL Server), and proven experience using AI-assisted development tools (GitHub Copilot, Claude Code) in production.…See more Responsibilities span full lifecycle ownership—design, development, testing, deployment, and production support—with emphasis on code quality, architectural collaboration, and continuous improvement within an analytics platform team.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application, OS, networking, and hardware layers. Must have 5+ years of professional experience with Python, modern front-end frameworks, RESTful APIs, Linux (RHEL preferred), containerization (Podman/OCI), Ansible automation, and Git.…See more Role emphasizes independent ownership of features from requirements through testing, strong debugging across system and software components, and integration with external systems and hardware interfaces.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and developer experience. The role involves building self-service infrastructure tooling, contributing to observability and SLO definitions, participating in on-call rotations, and automating infrastructure provisioning using Terraform.…See more Requires 3+ years of software or infrastructure engineering experience, production Go development, hands-on Terraform expertise, and deep knowledge of distributed systems concepts and operational practices.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.…See more The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.

As a Fullstack Software Engineer, you will design and build modern web applications and APIs for financial technology, working across ReactJS/TypeScript frontends and backend systems (Node.js, Java/Spring) that handle large-scale transactions with real-time processing. You'll own end-to-end features, implement secure and compliant systems with advanced security practices (CSP, encryption, vulnerability assessment), and optimize for performance and scalability.…See more The role requires 5+ years of software engineering experience with strong proficiency in React, modern JavaScript/TypeScript, backend frameworks, SQL/NoSQL databases, and testing frameworks (Jest, Cypress, Playwright). You'll collaborate with engineers, designers, and product managers in an agile environment, participate in code reviews, and mentor junior developers.

Staff-level backend engineer responsible for architecting and developing scalable, enterprise-class applications at Intuit with a focus on AI integration. The role involves driving significant technology initiatives across multiple architectural layers, designing durable software solutions that interact with numerous systems, and launching AI integrations into production while evaluating their impact.…See more Requires 7+ years of experience delivering enterprise applications, proficiency in Java, microservices, Kubernetes, relational and NoSQL databases, CI/CD pipelines, and practical experience with LLM prompting and AI model evaluation. The engineer will mentor junior staff, communicate technical recommendations across organizational levels, and collaborate with cross-functional teams including data scientists and product managers.